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Multiresolution Markov models for signal and image processing

 Multiresolution Markov models for signal and image processing
Author(s):Wilsky A.S.
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Language:English
Pages:111 pages
Size:2.60 MB
Extension:DJVU


[tab] [content title="Description"]Reviews a significant component of the rich field of statistical multiresolution (MR) modeling and processing. These MR methods have found application and permeated the literature of a widely scattered set of disciplines, and one of our principal objectives is to present a single, coherent picture of this framework. A second goal is to describe how this topic fits into the even larger field of MR methods and concepts-in particular, making ties to topics such as wavelets and multigrid methods. [/content] [content title="Content"] [/content] [content title="About the author"]An IEEE Fellow, Dr. Willsky has held leadership positions in the IEEE Control Systems Society, of which he is a Distinguished Member. His honors include the IEEE Browder J. Thompson Memorial Prize Award and the American Society of Civil Engineers' Alfred Noble Prize. He is the author of two books, notably Signals and Systems (co-authored with Alan Oppenheim), and has published approximately 170 journal and 300 conference papers. Dr. Willsky is the Edwin Sibley Webster Professor of Electrical Engineering at the Massachusetts Institute of Technology in Cambridge, Massachusetts, where he has taught since 1973, as well as a founder, board member and Chief Scientific Consultant of Alphatech, Inc. in Burlington, Massachusetts. [/content] [/tab]

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